Freshworks

3 weeks ago

Lead Software Engineer - Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build production-ready agentic AI systems by translating LLM research into reliable, autonomous agents. Design multi-agent workflows with low-latency, safe execution, and implement scalable agent pipelines including state, vector memory, and tool-calling integrations. Develop high-performance API microservices, establish telemetry to monitor drift and hallucination, and lead POC benchmarking using open-source orchestrators to validate enterprise business workflows.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with AI researchers and data scientists to translate reasoning loops and experimental algorithms into clean, production-grade code.
•Design, build, and manage end-to-end agent architectures, including state management, vector memory, tool-calling integrations, and feedback loops.
•Develop and deploy extensible, scalable API microservices to minimize latency during heavy token generation and parallel agent execution.
•Implement operational telemetry and evaluation to monitor agent drift, hallucination rates, cost/token efficiency, and multi-step accuracy.
•Lead POC initiatives using diverse tech stacks and open-source orchestrators, and independently own feature delivery through production deployment and continuous optimization.

Key Requirements

•6–9 years of professional experience in software engineering and machine learning development, with recent hands-on experience deploying LLM-based or agentic systems into production.
•Proven ability to productionize stateful, autonomous applications using LLMs/LMMs with deterministic guardrails.
•Expertise in LLM lifecycle management, including fine-tuning and retrieval-augmented generation (RAG) optimization, prompt versioning, and routing architectures.
•Strong distributed systems and API design skills for asynchronous workflows, message queues, and low-latency API microservices for multi-agent coordination.
•A degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.

Experience:6-9 yearsMachine learning

Education:Bachelor's

Skills:Cross-functional alignmentTechnical leadershipRapid prototyping

Languages:English

Tech Stack:LLMLMMMulti-agent frameworksAgentic systemsReActReflectionTree of ThoughtsVector memoryVector databasesRAGPrompt versioningRouting architecturesMessage queuesAPI microservicesLangGraphAutoGenCrewAI

Company Brief

Freshworks

Provides cloud-based customer engagement, CRM and ITSM software (Freshdesk, Freshservice, Freshsales) that helps businesses manage customer and employee experiences through SaaS products and AI-driven tools.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Mateo, United States

Founded: 2010

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Freshworks

3 weeks ago

Lead Software Engineer - Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with AI researchers and data scientists to translate reasoning loops and experimental algorithms into clean, production-grade code.
•Design, build, and manage end-to-end agent architectures, including state management, vector memory, tool-calling integrations, and feedback loops.
•Develop and deploy extensible, scalable API microservices to minimize latency during heavy token generation and parallel agent execution.
•Implement operational telemetry and evaluation to monitor agent drift, hallucination rates, cost/token efficiency, and multi-step accuracy.
•Lead POC initiatives using diverse tech stacks and open-source orchestrators, and independently own feature delivery through production deployment and continuous optimization.

Key Requirements

•6–9 years of professional experience in software engineering and machine learning development, with recent hands-on experience deploying LLM-based or agentic systems into production.
•Proven ability to productionize stateful, autonomous applications using LLMs/LMMs with deterministic guardrails.
•Expertise in LLM lifecycle management, including fine-tuning and retrieval-augmented generation (RAG) optimization, prompt versioning, and routing architectures.
•Strong distributed systems and API design skills for asynchronous workflows, message queues, and low-latency API microservices for multi-agent coordination.
•A degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.

Experience:6-9 yearsMachine learning

Education:Bachelor's

Skills:Cross-functional alignmentTechnical leadershipRapid prototyping

Languages:English

Company Brief

Freshworks

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Mateo, United States

Founded: 2010

Glassdoor: 3.5

Website LinkedIn Glassdoor